• Blockchain-Assisted Access for Federated Smart Grid Domains: Coupling and Features 

  Alcaraz-Tello, María Cristina; Rubio Cortés, Juan Enrique; López-Muñoz, Francisco Javier (Elsevier, 2020-10)

  Industry 4.0 technological expansion and the multiple accesses to the diverse Smart Grid domains (power networks, control systems, market, customer premises) entail the need to provide efficient interconnection mechanisms ...

• DAR-LFC: A data-driven attack recovery mechanism for Load Frequency Control 

  Syrmakesis, Andrew D.; Alcaraz-Tello, María Cristina; Hatziargyriou, Nikos D. (Elsevier, 2024-07)

  In power systems, generation must be maintained in constant equilibrium with consumption. A key indicator for this balance is the frequency of the power grid. The load frequency control (LFC) system is responsible for ...

• Covert Channels-based Stealth Attacks in Industry 4.0 

  Alcaraz-Tello, María Cristina; Bernieri, Giuseppe; Pascucci, Federica; Lopez, Javier; Setola, Roberto (IEEE Xplore, 2019-05-15)

  Industry 4.0 advent opens several cyber-threats scenarios originally designed for classic information technology, drawing the attention to serious risks for the modern industrial control networks. To cope with this problem, ...

• Digital Twins for Intelligent Authorization in the B5G-enabled Smart Grid 

  López-Muñoz, Francisco Javier; Rubio Cortés, Juan Enrique; Alcaraz-Tello, María Cristina (IEEE Xplore, 2021-05-14)

  Beyond fifth-generation (B5G) communication networks and computation paradigms in the edge are expected to be integrated into power grids infrastructures over the next years. In this sense, AI technologies will play a ...

• Protecting Digital Twin-enabled 6G Networks for Industry 5.0 

  Alcaraz-Tello, María Cristina; López-Muñoz, Francisco Javier (IEEE Network, 2023-09-05)

  New industrial paradigms, such as the Industrial Internet of Things (IIoT) and Industry 5.0, are emerging in industrial contexts with the aim of fostering quality in operational processes. With the expected launch of 6G ...

• E-Science workflow: A semantic approach for airborne pollen prediction 

  Hurtado-Requena, Sandro José; Antequera-Gómez, María Luisa; Barba-González, Cristóbal; Picornell Rodríguez, Antonio; Navas-Delgado, Ismael (Elsevier, 2024-01)

  Allergic rhinitis has become a global health problem in recent decades because airborne pollen is a primary trigger of this respiratory disorder. Moreover, pollinosis can exacerbate the symptoms of asthma and favour ...

• What Is Your Dependency Level? A System to Evaluate Individual Dependency Levels Depending on the Social Context and Physical Activity 

  Martín, Cristobal; Ballesteros-Gómez, Joaquín; Cosano Ramos, Arturo; Rondón-García, Luis Miguel (Springer, 2024-12-21)

  Dependency, defined as the need for assistance in daily activities due to physical or cognitive limitations, is a crucial concern in healthcare and social services. Accurately appraising dependency levels is essential for ...

• Distributed digital twins on the open-source OpenTwins framework 

  Infante, Sergio; Robles, Julia; Martín-Fernández, Cristian; Rubio-Muñoz, Bartolomé; Díaz-Rodríguez, Manuel (Elsevier, 2025-03)

  With the continuous evolution of digital twins, the requirements of interconnection and interoperability have led to the creation of the term Distributed Digital Twin, where commonly, different components of the same digital ...

• Digital Twin: A Comprehensive Survey of Security Threats 

  Alcaraz-Tello, María Cristina; López-Muñoz, Francisco Javier (IEEE, 2022-04-29)

  Industry 4.0 is having an increasingly positive impact on the value chain by modernizing and optimizing the production and distribution processes. In this streamline, the digital twin (DT) is one of the most cutting-edge ...

• OneSpace: Detecting cross-language clones by learning a common embedding space 

  Elarnaoty, Mohammed; Servant-Cortés, Francisco Javier (Elsevier, 2024)

  Identifying clone code fragments across different languages can enhance the productivity of software developers in several ways. However, the clone detection task is often studied in the context of a single language and ...

• Automatic Prediction of Developers’ Resolutions for Software Merge Conflicts 

  Aldndni, Waad; Meng, Na; Servant-Cortés, Francisco Javier (Elsevier, 2023)

  In collaborative software development, developers simultaneously work in parallel on different branches that they merge periodically. When edits from different branches textually overlap, conflicts may occur. Manually ...

• Data visualization guidance using a software product line approach. 

  Romero-Organvidez, David; Horcas-Aguilera, José Miguel; Galindo, José A.; Benavides, David (Elsevier, 2024)

  Data visualization aims to convey quantitative and qualitative information effectively by determining which techniques and visualizations are most appropriate for different situations and why. Various software solutions ...

• Understanding the Impact of Branch Edit Features for the Automatic Prediction of Merge Conflict Resolutions. 

  Aldndni, Waad; Servant-Cortés, Francisco Javier; Meng, Na (ACM, 2024)

  Developers regularly have to resolve merge conflicts, i.e., two conflicting sets of changes to the same files in different branches, which can be tedious and error-prone. To resolve conflicts, developers typically: keep ...

• Fast and Accurate Incremental Feedback for Students’ Software Tests Using Selective Mutation Analysis. 

  Kazerouni, Ayaan M.; Davis, James C.; Basak, Arinjoy; Shaffer, Clifford A.; Servant-Cortés, Francisco Javier; Edwards, Stephen H.[et al.] (Elsevier, 2021)

  As incorporating software testing into programming assignments becomes routine, educators have begun to assess not only the correctness of students’ software, but also the adequacy of their tests. In practice, educators ...

• Model-agnostic local explanation: Multi-objective genetic algorithm explainer 

  Nematzadeh, Hossein; García-Nieto, José Manuel; Hurtado-Requena, Sandro José; Aldana-Montes, José Francisco; Navas-Delgado, Ismael (Elsevier, 2024)

  Late detection of plant diseases leads to irreparable losses for farmers, threatening global food security, economic stability, and environmental sustainability. This research introduces the Multi-Objective Genetic Algorithm ...

• Business processes resource management using rewriting logic and deep-learning-based predictive monitoring 

  Durán-Muñoz, Francisco Javier; Pozas, Nicolás; Rocha, Camilo (Elsevier, 2024)

  A significant task in business process optimization is concerned with streamlining the allocation and sharing of resources. This paper presents an approach for analyzing business process provisioning under a resource ...

• Epoch-Based Application of Problem-Aware Operators in a Multiobjective Memetic Algorithm for Portfolio Optimization. 

  Colomine Durán, Feijoo; Cotta-Porras, Carlos; Fernández-Leiva, Antonio José (Springer, 2023)

  We consider the issue of intensification/diversification balance in the context of a memetic algorithm for the multiobjective optimization of investment portfolios with cardinality constraints. We approach this issue in ...

• Using an Agent-Based Cellular Automaton for Emergency Evacuation Simulation 

  Bueno-Vallejo, David; Cotta-Porras, Carlos; Gallardo-Ruiz, José Enrique (Springer, 2024)

  We consider a simulation-based approach to address crowd evacuation problems. An agent-based cellular automaton model is used to model the environment and the collective behavior of the crowd, taking into account both ...

• Developers’Need forthe Rationale of CodeCommits: An In-breadth andIn-depth Study 

  Al Safwan, Khadijah; Elarnaoty, Mohammed; Servant-Cortés, Francisco Javier (Elsevier, 2022)

  Communicating the rationale behind decisions is essential for the success of software engineering projects. In particular, understanding the rationale of code commits is an important and often difficult task. Although the ...

• GEML: A Grammar-based Evolutionary Machine Learning Approach for Design-Pattern Detection. 

  Barbudo Lunar, Rafael; Ramírez-Quesada, Aurora; Servant-Cortés, Francisco Javier; Romero-Salguero, José Raúl (Elsevier, 2021)

  Design patterns (DPs) are recognised as a good practice in software development. However, the lack of appropriate documentation often hampers traceability, and their benefits are blurred among thousands of lines of code. ...

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